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Alternatives

Products that do what Neural Network 101 does

See a neural network learn, neuron by neuron.

  1. 1IB
  2. 2AI
  3. 3

    Can a neural network learn to recognize doodles?

    2016

  4. 4
    Neuron126

    Teaching machines to learn

    2016

  5. 5

    Learn how AI trains neural networks—beginner friendly.

    Jul 2026 · khayyamshah2007.blogspot.com

  6. 6
    Neuron187

    A personal AI in every home.

    2024

  7. 7AV
  8. 8MA

    I made this tool to get some better intuition on how neural networks/backpropagation worked, but I'm really unsure what to do with it now, so I've put it up on github, and I wrote a little primer on backprop and neural networks to showcase it. Really curious to hear any thoughts you might have, or anything I got wrong in the write up!

    2024 · github.com

  9. 9

    No-code AI Lab: Train models, access datasets, run inference

    Feb 2026 · neuro-block.com

  10. 10IT
  11. 11

    The most simple neural network plotter

    2018

  12. 12
    Neuro104

    Instant infrastructure for machine learning

    2021

  13. 13IM

    I’m 15 and self-taught. I'm learning ML from scratch because I want to really understand how things work. I’m not into frameworks. I prefer math, logic, and C++. I implemented a basic MLP that supports different activation and loss functions. It was trained via mini-batch gradient descent. I wrote it from scratch, using no external libraries except Eigen (for linear algebra). I learned how a Neural Network learns (all the math) -- how the forward pass works, and how learning via backpropagation works. How to convert all that math into code. I’ll write a blog soon explaining how MLPs work in…

    2025 · github.com

  14. 14NN
  15. 15
    MakeML274

    Train Neural Networks without a line of code

    2019

  16. 16

    Curate an AI that knows what you know.

    Apr 2026 · recall.it

  17. 17WA

    In browser PPO training demo, made possible by tinygrad: TinyJit -> WebGPU kernels. Requires WebGPU.

    May 2026 · ppo.gradexp.xyz

  18. 18MA

    I trained a transformer in HyperCard. 1,216 parameters. 1989 Macintosh. And yes, it took a while. MacMind is a complete transformer neural network, embeddings, positional encoding, self-attention, backpropagation, and gradient descent, implemented entirely in HyperTalk, the scripting language Apple shipped with HyperCard in 1987. Every line of code is readable inside HyperCard's script editor. Option-click any button and read the actual math. The task: learn the bit-reversal permutation, the opening step of the Fast Fourier Transform. The model has no formula to follow. It discovers the…

    Apr 2026 · github.com

  19. 19

    Your AI Teammate that actually uses your computer.

    Dec 2025

  20. 20

    Create predictably better content

    2020

  21. 21

    slowly inch your way to mastery: try, fail, learn, get good

    Mar 2026 · neuralingo.academy

  22. 22

    Design and build AI architectures

    2024

  23. 23IA

    2018 · enlight.nyc

  24. 24
    exnge139

    Make your own AI to predict the market

    2022

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